• Collaborate with Data Architects and business partners to design and evolve enterprise data architecture and platform capabilities. • Translate architectural strategy into technical designs and delivery plans across teams. • Design, code, and optimize complex distributed data processing systems using Spark, Databricks, and cloud‑native data services. • Develop canonical data models, semantic structures, and reusable datasets to support reporting and machine learning. • Drive platform modernization initiatives such as Delta Lake and metadata‑driven design. • Create reusable frameworks and platform capabilities to accelerate analytics, ML, and governed self‑service data access. • Lead root‑cause analysis for major data issues and implement long‑term improvements in data quality, lineage, and observability. • Provide technical leadership, guidance, and mentorship to Staff, Senior, and mid‑level data engineers. • Influence cross‑organizational roadmaps and engineering investments; participate in architecture reviews and governance forums.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: - Lead the design, implementation, and testing of data systems, from architecture to production. - Build batch and real-time data systems that support business needs and critical products. - Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices. - Design and optimize data models to efficiently meet business and product requirements. - Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. - Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems. - Contribute to long-term data strategies and influence data engineering practices across the organization. - Mentor and guide team members, fostering best practices for data quality and governance. - Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage. Your Expertise: - 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD). - Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale. - Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying. - Proven track record of designing and optimizing batch and real-time data pipelines. - Strong collaboration skills with the ability to work with product managers, data scientists, and engineers. - Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability. - Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts. - Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery). - Experience with integrating machine learning models into data systems (preferred). - Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies. - Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

We are seeking an experienced Informatica Intelligent Cloud Services (IICS) Developer to design, develop, and maintain scalable cloud-based data integration solutions. The ideal candidate should have strong expertise in IICS services, data warehousing concepts, and cloud data platforms, with hands-on experience delivering enterprise-grade data integration solutions. At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform • Work with large datasets using tools such as BigQuery and Dataflow • Build reliable data models that support analytics and business use cases • Collaborate with consultants, engineers, and client stakeholders in delivery teams • Contribute to best practices in data engineering and cloud-based architectures